DOI QR코드

DOI QR Code

IT Convergence UAV Swarm Control for Aerial Advertising

공중 광고를 위한 IT 융합 무인항공기 군집 제어

  • 정성훈 (초당대학교 항공학부 드론학과)
  • Received : 2017.02.22
  • Accepted : 2017.04.20
  • Published : 2017.04.28

Abstract

As the price of small UAVs is getting cheaper and its controllability is getting greatly increased, many aerial applications using both fixed-wing and hoverable UAVs have appeared in recent years. In this paper, a new aerial advertising method is proposed using four hoverable UAVs. Using the UAV swarm control method, four UAVs are maneuvered to carry a $7.07{\times}7.07m^2$ square banner along collision-free and predefined waypoints for aerial advertising. According to simulation results, it takes about 270 s for UAVs to perform aerial advertising in $669{\times}669m^2$ size area and the minimum distance among UAVs turns out to be 0.45 m which proves there is no any collision. Due to abrupt direction changes of UAVs along the predefined waypoints, UAVs cannot always maintain exact square formation and it results the maximum and minimum side lengths of square formation to be 10.35 m and 1.96 m, respectively. Also, the maximum and minimum diagonal lengths of square formation turn out to be 14.75 m and 2.78 m, respectively.

References

  1. J. P. Lee, J. W. Lee, and K. H. Lee, “A Scheme of Security Drone Convergence Service using Cam-Shift Algorithm,” Journal of the Korea Convergence Society, Vol. 7, No. 5, pp. 29-34, 2016. https://doi.org/10.15207/JKCS.2016.7.5.029
  2. K. Kanistras, G. Martins, M. J. Rutherford, and K. P. Valavanis, "A Survey of Unmanned Aerial Vehicles (UAVs) for Traffic Monitoring," 2013 International Conference on Unmanned Aircraft Systems, pp. 221-234, 2013.
  3. S. Jackson and J. Tisdale, "Tracking Controllers for Small UAVs with Wind Disturbances," Proceedings of the 47th IEEE Conference on Decision and Control, pp. 564-569, 2008.
  4. G. W. Lee and J. K. Park, “Geospatial Analysis of Dam Construction Area by Unmanned Vehicles,” Journal of Digital Convergence, Vol. 14, No. 12, pp. 225-230, 2016. https://doi.org/10.14400/JDC.2016.14.12.225
  5. https://goo.gl/GtzyCc
  6. C. J. Jeong, “A Study on the Advertising Creative Based on the Technology Convergence,” Journal of the Korea Convergence Society, Vol. 6, No. 4, pp. 235-241, 2015. https://doi.org/10.15207/JKCS.2015.6.4.235
  7. K. S. Kim, “Advertising Contents based on Semiotic Methodology,” Journal of the Korea Convergence Society, Vol. 6, No. 6, pp. 87-93, 2015. https://doi.org/10.15207/JKCS.2015.6.6.087
  8. P. DeLima and D. Pack, "Toward Developing an Optimal Cooperative Search Algorithm for Multiple Unmanned Aerial Vehicles," International Symposium on Collaborative Technologies and Systems, pp. 506-512, 2008.
  9. N. Michael, D. Melunger, Q. Lindsey, and V. Kumar, "The GRASP Multiple Micro-UAV Test Bed," IEEE Robotics & Automation Magazine, Vol 17, No. 3, pp. 56-65, 2010. https://doi.org/10.1109/MRA.2010.937855
  10. K. B. Ariyur and K. O. Fregene, "Autonomous Tracking of a Ground Vehicle by a UAV," 2008 American Control Conference, pp. 669-671, 2008.
  11. S. D. Bopardikar, F. Bullo, and J. P. Hespanha, "A Cooperative Homicidal Chauffeur Game," Automatica, Vol. 45, pp. 1771-1777, 2009. https://doi.org/10.1016/j.automatica.2009.03.014
  12. U. Zengin and A. Dogan, Autonomous Guidance of UAVs for Real-Time Target Tracking in Adversarial Environments, InTech, 2009.
  13. M. Zhang and H. H. T. Liu, "Persistent Tracking using Unmanned Aerial Vehicle: A Game Theory Method," AIAA Guidance, Navigation, and Control Conference, pp. 1-13, 2011.
  14. S. H. Jung and K. B. Ariyur, "Increasing Operational and Fuel Efficiency for Multi-UAV Missions," AIAA Infotech@Aerospace Conference, pp. 1-10, 2013.
  15. S. H. Jung and K. B. Ariyur, "Scalable Autonomy for UAVs," Infotech@Aerospace Conference, pp. 1-16, 2011.
  16. S. H. Jung and K. B. Ariyur, "Robustness for Large Scale UAV Autonomous Operations," 2011 IEEE International Systems Conference, pp. 1-6, 2011.
  17. C. V. D. Linden, DASMAT-Delft University Aircraft Simulation Model and Analysis Tool: A Matlab/Simulink Environment for Flight Dynamics and Control Analysis, Delft University Press, 1998,
  18. A. Tewari, Atmospheric and Space Flight Dynamics: Modeling and Simulation with MATLAB and Simulink, Birkhauser Boston, 2007.
  19. S. H. Jung and K. B. Ariyur, "Enabling Operational Autonomy for Unmanned Aerial Vehicles with Scalability," Journal of Aerospace Information Systems, pp. 516-528, 2013.